Gender: Male 
Age: 55-60
Nationality: United Kingdom
Ethnicity: White / Caucasian 
Marital status: Cohabitating 
First language: English 
Religion: Nothing 
Education: High school or below
Mother's education: High school or below
Father's education: High school or below
Self-assessed socioeconomic status (1-10): 3
Home: Rent 
Employment: Employed part time
Occupation: Technicians and associate professionals (those who apply scientific or artistic concepts and operational methods, e.g. secretaries, fitness workers, lab technicians)
Mother's occupation: Clerical support workers (those who perform clerical duties such as organizing, storing, computing and retrieving information)
Father's occupation: Plant and machine operators, and assemblers (those who maintain, operate and monitor industrial and agricultural machinery and equipment)
Hobbies: Listen to rock/indie music;Exercise;Use social media;Go to museums and galleries;Watch sports;Other (Please specify) Read
Devices used daily: Smartphone;Other Desktop PC
NLP tools known: Spell checker (i.e., correcting misspellings);Grammar checker (i.e., correcting grammar mistakes);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Machine translation (e.g. translate Chinese or Russian into English, and vice versa);Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants);Dialog technology (e.g. chatbots that communicate with you such as chatGPT);Text-to-Speech (i.e, computers being able to read out loud written language);Speech-to-Text (i.e. a computer transcribing your spoken language to written language);Reading text from scanned documents (i.e. “Optical character recognition” or OCR. Given an image representing printed text, determine the corresponding text.);Sentiment analysis (e.g. automatically detect if user reviews are positive or negative) 
NLP tools used: Spell checker (i.e., correcting misspellings);Grammar checker (i.e., correcting grammar mistakes);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Machine translation (e.g. translate Chinese or Russian into English, and vice versa);Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants);Dialog technology (e.g. chatbots that communicate with you such as chatGPT);Text-to-Speech (i.e, computers being able to read out loud written language) 
NLP tools they would find useful: Speech-to-Text (i.e. a computer transcribing your spoken language to written language) 
Frequency of LLM use: Sometimes
LLMs used: ChatGPT;Microsoft Bing AI 
LLM use cases: Generic chatbot conversation;Answering questions about general knowledge 
Contexts of LLM use: Work;Personal 
Prompt 1: Please provide an example of one element or aspect of the United Kingdom that you personally endorse and believe helps establish law and order through ensuring cohesion by enforcing free exchange and expression of ideas. 
Prompt 2: In the technology sector, what do you see as the 1-3 biggest barriers in driving environmental initiatives at your workplace
Prompt 3: Hi I'm in need of some ideas for what to write in my wife's birthday card.
Prompt 4: Hi, I'm going to ask you a question about the English Premier League
Prompt 5: Hi, use the phrase "cue some relief" in a sentence
Prompt 6:  find a fourth word that is related to all three of the given words: arm, coal, peach
Prompt 7: Mystic Fusion Bistro
Prompt 8: What were your overall impressions of "Chronicles of the Celestial Nexus"?
Prompt 9: What ingredients are in the new Coke flavour, the Cranberry Curry?
Prompt 10: what is a Luminescent Flutterhound